Building an Artificial Intelligence of Strategy Simulation for War Game
| Autor: | Yen-Hsiang Tseng, 曾彥翔 |
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| Rok vydání: | 2010 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 98 In recent years, digital game software grows flourish, most of digital games software has designed artificial intelligence in game. Because the development of game artificial intelligence is difficult and complex, it is limited the growth of the game artificial intelligence. Most of artificial intelligence of digital game is without self-learning, so the game developers always increase the number of enemies to make the game difficult to be completed in short time. In this thesis, we proposed an artificial intelligence of strategy simulation for war game. We use artificial neural networks to construct influence map, and train the computer to analysis the influence map. According to the result of a battle game, the system will feedback to the game artificial intelligence and learn the behavior of player. In this way, the game would become more challenging for user to play. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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